Diachronic WSI models, on the contrary, are able to detect at least innovative (and reductive) meaning change, as they are designed to induce newly arising senses of words. However, they do not measure how these senses relate to each other in terms of semantic generality. Hence, ad hoc, they may not be able to distinguish different subtypes of innovative meaning change such as metaphoric vs. metonymic change. They may fail to detect meaning changes where no new senses can be induced as, e.g., in grammaticalization. Moreover, some models require elaborate training [1]}.
